📐 1-Day Intensive Workshop
AMOS Workshop for
Thesis & Research Paper Writing
Confirmatory Factor Analysis (CFA) & Structural Equation Modeling (SEM) — Journal-Ready Output for Scopus, Web of Science & ABDC Publications
🧩 CFA
🔗 SEM
📊 CR & AVE
📐 Fit Indices
📗 Scopus
📘 Web of Science
📙 ABDC
About the Workshop
Go From EFA to Publication-Ready CFA & SEM — In One Day
This intensive one-day workshop is designed for researchers who have already completed Exploratory Factor Analysis (EFA) in SPSS and want to master the advanced analytical standards expected by Scopus, Web of Science, and ABDC journals — specifically CFA and SEM using IBM AMOS.
In just one day, you will transform your EFA-derived factor structure into a testable, publishable measurement model, complete with fit indices, validity statistics, structural paths, and journal-style reporting.
🎯
AMOS Only — No SPSS Basics
We start directly with AMOS. No time wasted on things you already know. If you have done EFA, this workshop takes you from there to a complete CFA + SEM manuscript.
📄
Publication Pipeline
Every AMOS output is connected to manuscript writing. You leave knowing exactly how to report CFA loadings, validity tables, SEM paths, and fit indices in APA/Elsevier format.
🚀
Complete Template
Takeaway includes a full AMOS project file, validity table, fit index table, path diagram, and a results-writing template you apply directly to your own data.
1Full Day Bootcamp
CFA+SEMAMOS Coverage
500+Researchers Trained
Scopus
WoS
ABDCAligned Output
The Researcher's Problem
❓ You Have Done EFA — But Journals Ask for More
You ran EFA in SPSS. You have factor loadings and Cronbach's alpha. But when you submitted to a Scopus, WoS, or ABDC journal, the reviewers or desk editor responded with:
❌ What Reviewers Actually Said
- "Exploratory factor analysis is insufficient. Confirmatory factor analysis (CFA) is required."
- "No validity statistics reported (AVE, CR, discriminant validity)."
- "Structural equation modeling (SEM) should have been used to test the hypothesized model."
- "Fit indices are missing or below acceptable thresholds."
✔ Our 1-Day AMOS Bootcamp Addresses Exactly This
- Start directly with AMOS — no SPSS basics repeated
- Draw and test CFA measurement models with fit indices
- Compute CR, AVE, and Fornell–Larcker discriminant validity
- Build structural models and test direct + indirect effects
- Report every output in APA/Elsevier style for manuscript submission
- Leave with a template AMOS analysis you apply to your own data immediately
The Journey
📐 From EFA to Submission — Your One-Day Pipeline
📦
START
Your EFA Dataset
›
✏️
STEP 1
Draw CFA Model in AMOS
›
📐
STEP 2
Fit Indices + Model Refinement
›
✅
STEP 3
CR, AVE & Discriminant Validity
›
🔗
STEP 4
SEM Structural Model
›
📄
OUTCOME
Manuscript-Ready Output
Full Programme
🗓️ One-Day Programme Structure (AMOS Only)
| Topic / Session | Practical Outcome |
|---|
| Introduction to AMOS — interface, importing SPSS data, drawing basic path diagrams | Orientation and first path diagram in AMOS |
| Confirmatory Factor Analysis (CFA) — drawing measurement models, model identification, running analysis, interpreting loadings | First CFA output with standardized loadings |
| Fit indices & model modification — CMIN/DF, CFI, TLI, RMSEA, SRMR, modification indices, theoretical vs empirical modifications | Ability to assess and improve model fit |
| Validity assessment — Composite Reliability (CR), Average Variance Extracted (AVE), Fornell–Larcker discriminant validity | Complete validity table (CR, AVE, discriminant) |
| Structural Equation Modeling (SEM) — drawing structural models, adding paths from latent variables, running SEM | Hypothesis testing with latent variables |
| Direct & indirect effects — output interpretation, standardized coefficients, p-values, mediation basics | Path coefficients and significance levels |
| Reporting CFA/SEM results — creating tables (loadings, fit indices, validity), exporting path diagrams, writing results in APA/Elsevier style | Manuscript-ready tables and figure |
| Common mistakes & desk-rejection avoiders — poor fit, missing validity, improper reporting | Prevention of top 5 AMOS desk-rejection errors |
| Hands-on exercise — participants run CFA + SEM on a provided dataset (or their own) | Complete pipeline applied to real data |
| Q&A + final takeaways — journal selection for SEM papers, next steps | Action plan for your own research |
Measurement Quality
📐 Fit Indices You Will Learn to Interpret
Top journals require specific fit index thresholds. This workshop teaches you exactly what each index means, what values are acceptable, and how to report them in your manuscript:
CMIN/DF
Chi-Square / Degrees of Freedom
≤ 3.0 acceptable
CFI
Comparative Fit Index
≥ 0.90 good
TLI
Tucker–Lewis Index
≥ 0.90 good
RMSEA
Root Mean Square Error of Approximation
≤ 0.08 acceptable
SRMR
Standardized Root Mean Square Residual
≤ 0.08 acceptable
Validity Statistics
✅ Validity Assessment — CR, AVE & Discriminant Validity
Validity statistics are among the most commonly missing elements in desk-rejected papers. This workshop covers all three required validity assessments step by step:
CR
Composite Reliability
A reliability measure for latent constructs — stronger than Cronbach's alpha for PLS/SEM contexts. Computed from standardized loadings.
✔ Threshold: CR ≥ 0.70
AVE
Average Variance Extracted
Measures convergent validity — the proportion of variance in observed variables accounted for by the latent construct. Calculated from factor loadings.
✔ Threshold: AVE ≥ 0.50
Fornell–Larcker
Discriminant Validity Criterion
Tests whether each construct shares more variance with its own indicators than with other constructs. The √AVE of each construct must exceed inter-construct correlations.
✔ √AVE > inter-construct correlations
Unique Value
⭐ What Makes This Workshop Different
❌ Typical AMOS Training
- Covers many advanced topics (multi-group, longitudinal)
- Teaches software mechanics — button clicking
- No connection to manuscript or results writing
- Ignores or skips validity statistics (CR, AVE)
- No awareness of what reviewers actually expect
✔ This 1-Day AMOS Bootcamp
- Focus exclusively on CFA + SEM for publication
- Teaches what reviewers expect — not just how to click
- Results & discussion writing for every AMOS output
- Mandatory validity assessment (CR, AVE, Fornell–Larcker)
- Walk away with copy-paste manuscript tables and path diagrams
By End of Day
🎓 Key Learning Outcomes
✔Import data into AMOS and draw a measurement model from your EFA structure
✔Run Confirmatory Factor Analysis (CFA) and obtain fit indices
✔Interpret modification indices and improve model fit systematically
✔Compute CR and AVE (convergent validity) and Fornell–Larcker discriminant validity
✔Draw and run a Structural Equation Model (SEM) with latent variables
✔Test direct and indirect effects (mediation basics)
✔Produce journal-standard tables (loadings, validity, fit indices)
✔Avoid the top 5 AMOS-related desk-rejection mistakes
Publication-Focused
💡 Special Features
⚡No SPSS Basics
Start directly with AMOS — assumes EFA knowledge, saves half a day of basics you already know
💾Real Dataset Included
Hands-on execution using a provided real dataset throughout all sessions
📋Output Interpretation Templates
Reviewer-friendly output templates — adapt directly to your own manuscript
📝Journal-Style Writing
Results & discussion writing in APA/Elsevier style for every AMOS output covered
🎯Desk-Rejection Avoiders
Explicit focus on the top mistakes that cause desk rejection in CFA/SEM papers
🎥Session Recording Access
Full session recording shared — revisit any part for your own analysis
What You Take Away
📦 Workshop Deliverables
🧩AMOS CFA Output (measurement model + fit indices)
✅Validity Table (CR, AVE, Discriminant Validity)
🔗AMOS SEM Output (structural paths + direct/indirect effects)
🗺️Path Diagram (ready for manuscript submission)
📝Results Writing Template (copy-paste for your paper)
🏅Certificate of Completion from DRC, New Delhi
Who Should Attend
👥 Target Participants
🔬 PhD Scholars who have completed EFA & need CFA/SEM for Scopus/WoS/ABDC
👨🏫 Faculty members with validated scales ready for hypothesis testing
📊 Researchers with data but no AMOS experience
🎓 Master's students doing advanced empirical dissertations
Before You Join
📋 Prerequisite — What You Need to Know
📌 What We Assume You Have
- A dataset with theoretically grouped items (from EFA or scale development)
- Basic understanding of factor analysis concepts — what is a loading, what is reliability
- Knowledge of SPSS is helpful but not required during the workshop itself
- No prior AMOS experience required — we start from the AMOS interface
Quick Summary
⭐ Workshop at a Glance
Master CFA & SEM in One Day.
Get Published.
If you have EFA data and need to go one step further — CFA, SEM, validity tables, and journal-ready output — this one-day bootcamp is built exactly for you.
Register Now →
📅 1-Day Bootcamp · 💻 Virtual Live + Hands-on · 📊 Real Dataset · 🏅 Certificate · Limited Seats
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